LINEAR REGRESSION-PYTHON

Linear regression is one of the supervised Machine learning algorithms in Python that observes continuous features and predicts an outcome. Depending on whether it runs on a single variable or on many features, we can call it simple linear regression or multiple linear regression. This is one of the most popular Python ML algorithms and often … Continue reading LINEAR REGRESSION-PYTHON

PYTHON BUILD-IN FUNCTIONS

LEN() Len function take an iterable object and returns the numbers of items in an object. Example: >>items = [1,2,3,4] >>print(len(items)) Output :4 ZIP() Zip function can take nth iterable objects and return a zip object which is an iterator of tuples. Example: >>ids=[1,2,3] >>names=[‘a’,’b’,’c’] zipobj=zip(ids,names) print(list(z)) Output: [(1,’a’),(2,’b’)'(3,’c’)] ORD() Ord function return a number … Continue reading PYTHON BUILD-IN FUNCTIONS

MACHINE LEARNING- BEGINNERS

Human civilization since the stone age has been evolving with the adaptations that they are put in. They constantly learn from the people around them and also the conditions they analyze. In the machine era, what if a machine can learn to predict the outcomes by itself, without any kind of explicit interference and predict … Continue reading MACHINE LEARNING- BEGINNERS

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